Qwopus3.6-27B-v2-MTP-GGUF · infosave
Qwopus3.6-27B-v2-MTP-GGUF F16
This file is exactly 30,121,054,400 bytes — 28.05 GiB / 30.12 GB at an effective 8.820 bits per weight. The nominal rate for F16 is lower; mixed-precision tensors make the real figure higher, always.
From the file· 1 file(s), summedFrom the file· 866 tensors parsed
Get it
28.05 GiB · 1 file
llama.cpp
llama-cli -hf infosave/cortiq_qwopus_dev:F16
Downloads and runs in one step, resolving the quantization by name.
Hugging Face CLI
hf download infosave/cortiq_qwopus_dev qwopus-nvg-12b-F16.gguf
Direct download
Straight from the Hugging Face CDN — we host nothing and earn nothing from this. Verify what you received against the exact byte count above; a size mismatch is the usual cause of a file that will not load.
Size
28.05 GiB
30.12 GB
Effective bpw
8.820
from real bytes ÷ params
Tensors
866
Header
10.99 MB
GGUF metadata
What this quantization actually contains
per-tensor types, parsed from the GGUF header
F16
506
F32
360
A quantization label names a mixture, not a uniform precision. Attention and output tensors are routinely kept at higher precision than the label implies, which is exactly why the effective bits-per-weight above exceeds the nominal rate.